code: def logpdf(self, x):
      check_arraylike("logpdf", x)
      x = self._reshape_points(x)
      result = _gaussian_kernel_eval(
          True, self.dataset.T, self.weights[:, None], x.T, self.inv_cov
      )
      return result[:, 0]
  
imports: from dataclasses import dataclass
  from functools import partial
  from typing import Any
  import numpy
  import scipy.stats
  import jax.numpy
  from jax import jit, lax, random, vmap
  from jax._src.numpy.util import check_arraylike, promote_dtypes_inexact, _wraps
  from jax._src.tree_util import register_pytree_node_class
  from jax.scipy import linalg, special
label_desc: Use image node_id 14 for calling the gaussian_kde obj's underlying member method code with example usage: obj.logpdf(x) and returns: result